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Publikationen

Seite 4 von 30.

  1. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  2. Benjamin Hilprecht; Kristian Kersting; Carsten Binnig

    SPARE: A Single-Pass Neural Model for Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.

  3. Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting

    ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

    In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.

  4. Marco Bellagente; Manuel Brack; Hannah Benita Teufel; Felix Friedrich; Björn Deiseroth; Constantin Eichenberg; Andrew Dai; Robert John Nicholas Baldock; Souradeep Nanda; Koen Oostermeijer; Andres Felipe Cruz-Salinas; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

    In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.

  5. Mina Ameli; Viktor Pfanschilling; Anar Amirli; Wolfgang Maaß; Kristian Kersting

    Unsupervised Multi-Sensor Anomaly Localization with Explainable AI

    In: Proceedings of AIAI 2022. International Conference on Artificial Intelligence Applications and Innovations (AIAI-2022), June 17-20, Crete, Greece, Vol. 646, ISBN 978-3-031-08332-7, Springer, 2022.

  6. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

  7. Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting

    Large pre-trained language models contain human-like biases of what is right and wrong to do

    In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.

  8. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.

  9. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2022), June 14-17, Halifax, NS, Canada, Pages 178-188, Lecture Notes in Computer Science, Vol. 13263, Springer, 2022.

  10. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), June 18-24, New Orleans, LA, USA, Pages 10307-10318, IEEE, 2022.